Advanced installation guide for Ubuntu - pre-built packages#

The easiest way to install Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework is installing it from pre-built Debian packages with one-click script. If you would like to follow this way, please go to Install Guide Ubuntu.

The instruction below focuses on installation steps with pre-built Debian packages performed manually.

Step 1: Install prerequisites#

Please go through prerequisites 1 & 2 described in Install Guide Ubuntu

Step 2: Prepare the installation environment#

Download Ninja build system and use it to build OpenCV library:

mkdir -p ~/intel/dlstreamer_gst
cd ~/intel/dlstreamer_gst
sudo apt-get install ninja-build unzip
wget -q --no-check-certificate -O opencv.zip https://github.com/opencv/opencv/archive/4.10.0.zip
unzip opencv.zip && rm opencv.zip && mv opencv-4.10.0 opencv && mkdir -p opencv/build
cd ./opencv/build
cmake -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_EXAMPLES=OFF -DBUILD_opencv_apps=OFF -GNinja .. \
&& ninja -j "$(nproc)" && sudo ninja install

  1. For Ubuntu 24.04:

    Download pre-built Debian packages:

    mkdir -p ~/intel/dlstreamer_gst
cd ~/intel/dlstreamer_gst
wget $(wget -q -O - https://api.github.com/repos/dlstreamer/dlstreamer/releases/latest | \
  jq -r '.assets[] | select(.name | contains ("ubuntu_24.04_amd64.deb")) | .browser_download_url')

  2. For Ubuntu 22.04:

    Download pre-built Debian packages:

    cd ~/intel/dlstreamer_gst
wget $(wget -q -O - https://api.github.com/repos/dlstreamer/dlstreamer/releases/latest | \
  jq -r '.assets[] | select(.name | contains ("ubuntu_22.04_amd64.deb")) | .browser_download_url')

Step 3: Install Intel® DL Streamer#

Install Intel® DL Streamer from pre-built Debian packages:

sudo apt install ./*.deb

Step 4: Install OpenVINO™ toolkit#

Install Intel® OpenVINO™ via script install_openvino.sh.

sudo -E /opt/intel/dlstreamer/install_dependencies/install_openvino.sh

Step 5: Install MQTT and Kafka clients for element gvametapublish#

Note

Optional step

In order to enable all gvametapublish backends install required dependencies with scripts:

sudo -E /opt/intel/dlstreamer/install_dependencies/install_mqtt_client.sh
sudo -E /opt/intel/dlstreamer/install_dependencies/install_kafka_client.sh

Step 6: Add user to groups#

When using Media, GPU or NPU devices as non-root user, please add your user to video and render groups:

sudo usermod -a -G video <username>
sudo usermod -a -G render <username>

Step 7: Set up the environment for Intel® DL Streamer#

Source required environment variables to run GStreamer and Intel® DL Streamer:

# Setup OpenVINO™ Toolkit environment
source /opt/intel/openvino_2024/setupvars.sh
# Setup GStreamer and Intel® DL Streamer Pipeline Framework environments
source /opt/intel/dlstreamer/setupvars.sh

Note

The environment variables are removed when you close the shell. Before each run of Intel® DL Streamer you need to setup the environment with the 2 scripts listed in this step. As an option, you can set the environment variables in file ~/.bashrc for automatic enabling.

Step 8: Verify Intel® DL Streamer installation#

Intel® DL Streamer has been installed. You can run the gst-inspect-1.0 gvadetect to confirm that GStreamer and Intel® DL Streamer are running:

gst-inspect-1.0 gvadetect

If your can see the documentation of gvadetect element, the installation process is completed.

dev_guide/advanced_install/gvadetect_sample_help.png

Step 9: Next steps - running sample Intel® DL Streamer pipelines#

You are ready to use Intel® DL Streamer. For further instructions to run sample pipeline(s), please go to: ../../get_started/install_guide_ubuntu

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